Introduction
Properly configuring a Python environment is essential for data analysis. On a Mac M1, the ARM architecture can introduce compatibility issues with packages and IDEs like VS Code. During my setup of Anaconda and VS Code, I encountered several unexpected environment-related challenges.
This post documents the issues I faced and the solutions I applied, covering interpreter selection, package loading, and VS Code configuration. It aims to help others set up a reliable Python environment for data analysis on Mac M1 without running into the same pitfalls.
Step 1: Installing Anaconda
To set up a reliable Python environment for data analysis, start by installing Anaconda. For Mac M1, select the 64-Bit Apple Silicon Graphical Installer, which ensures compatibility with the ARM architecture. Download the official Anaconda installer for Mac M1 from the Anaconda website.
By default, Anaconda is installed in:
/opt/anaconda3
Verify the installation in the terminal:
conda --version
Example output: conda 25.11.1
Step 2: Installing the Python Extension in VS Code
Open VS Code and install the Python extension by Microsoft from the marketplace. This extension enables Python syntax highlighting, code completion, linting, and integration with Anaconda environments.
Once the extension is installed, the Anaconda interpreter can be selected by opening the command palette:
Command + Shift + P → Python: Select Interpreter
Select the interpreter corresponding to the Anaconda base environment:
base (3.13.9) /opt/anaconda3/bin/python
Ensure the interpreter labeled (base) is selected — this links VS Code to the Anaconda environment.
If the interpreter does not appear, use Enter interpreter path and manually navigate to:
/opt/anaconda3/bin/python
Common Issues and How to Solve Them
1.Python Interpreter Not Appearing
When opening the command palette to select the Python interpreter:
Command + Shift + P → Python: Select Interpreter
Sometimes only node.js or system Python interpreters are listed, and the Anaconda environment does not appear.
Cause: VS Code may open the folder in Restricted Mode, which disables extensions and prevents the Python extension from fully activating.
• Click the Trust button in the top notification, or
• Open the command palette:
Command + Shift + P → Workspace: Manage Workspace Trust → Trust
After trusting the folder, all Python features and extensions will be activated.
2. Interpreter Not Found
Sometimes VS Code defaults to system Python or Homebrew Python, instead of Anaconda.
• Always check the bottom-right corner — it should show (base)
• If the Anaconda interpreter is missing, manually enter the path:
/opt/anaconda3/bin/python
3. First-Time Package Loading
When importing pandas, numpy, or pyarrow for the first time, loading may take several seconds on Mac M1.
• Avoid pressing Ctrl + C during this process
• Wait until the prompt returns or output appears in the terminal
4. Verifying the Environment
Create a test script test.py:
`import pandas as pd
import numpy as np
print("pandas version:", pd.version)
print("numpy version:", np.version)`
Run the file using the ▶️ Run Python File button or in the terminal:
/opt/anaconda3/bin/python test.py
Correct output should display the versions of pandas and numpy, confirming that VS Code is correctly using the Anaconda environment.
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